Collibra Governance and erwin Data Intelligence compete in the data governance category. Based on the comparisons, Collibra has the upper hand in terms of user-friendly customization and comprehensive documentation, while erwin excels in automation and mapping tools.
Features: Collibra Governance excels with its collaboration platform, intuitive workflows, and robust data lineage and business glossary features. erwin Data Intelligence stands out with comprehensive mapping tools, Smart Data Connectors, and automation capabilities, making it valuable for data lineage and data profiling.
Room for Improvement: Collibra Governance could enhance connector availability for better metadata ingestion and streamline integration processes to reduce manual efforts. erwin Data Intelligence might improve automation features and simplify its interface to be less complex for first-time users, along with better data quality integration.
Ease of Deployment and Customer Service: Collibra Governance supports a variety of deployment environments including Public Cloud, Private Cloud, On-premises, and Hybrid Cloud, providing extensive documentation and training resources. erwin Data Intelligence primarily focuses on On-premises and Public Cloud deployments, but offers satisfactory technical support similar to Collibra.
Pricing and ROI: Although considered expensive, Collibra Governance offers a flexible licensing model for broad adoption, promising potentially higher long-term ROI. erwin Data Intelligence is priced more competitively, offering straightforward licensing and robust features, appealing to cost-conscious organizations seeking automation benefits.
If I consider putting data governance in place without a tool like this, it's difficult, resulting in a significant cost improvement.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
The technical support from Collibra Governance is excellent.
Technical support is effective in providing solutions.
The technical support is quite good.
There is no information available currently for this section.
There should be a reduction in cost as compared to other tools.
Collibra's data quality feature only provides observations on data quality without any remediation techniques.
It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better.
It is neither extremely costly nor very cheap, as it depends on the use case and specific requirements.
Regarding licensing, I find it is one of the more expensive options, so it is not particularly affordable.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
I find the rule modification and the replication of the rules in Collibra happens very quickly.
The data lineage feature is beneficial for understanding where data is coming from.
| Product | Market Share (%) |
|---|---|
| Collibra Governance | 8.0% |
| erwin Data Intelligence | 1.9% |
| Other | 90.1% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 7 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
Collibra Governance is a software solution for data governance, which refers to the set of policies, standards, and processes that govern how an organization manages, uses, and protects its data. Collibra Governance provides a centralized platform for managing data governance, enabling organizations to ensure data accuracy, completeness, and security.
The software includes tools for managing data lineage, data dictionaries, and metadata, as well as for monitoring data quality and compliance with data governance policies. It also provides a collaboration platform for stakeholders to work together on data governance initiatives, ensuring that data governance is integrated into the organization's data management processes.
Collibra Governance is designed for organizations of all sizes, from small businesses to large enterprises, and can be used across a variety of industries and use cases. It is a cloud-based solution that can be easily implemented and integrated into an organization's existing data management infrastructure.
Collibra Governance Features
Collibra Governance has many valuable key features. Some of the most useful ones include:
Collibra Governance Benefits
There are many benefits to implementing Collibra Governance. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Collibra Governance is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has good data lineage, is easy to use, and has good customization capabilities in addition to many other great features.
A Sr. Systems Analyst, Master Data Governance at a manufacturing company expresses, “[The solution has] good data lineage and is surrounded by a helpful community.”
“[It’s] easy to use with good customization capabilities and great features,” says a Senior Consulting Analyst at a construction company.
According to Kriti T., Senior Manager, Service Design Manager at a pharma/biotech company, “The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out in terms of who to contact, what to do, and where to find what you need.”
Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.
Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.
What are the main features of Erwin Data Intelligence?In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
